PoPETs Proceedings — Volume 2018 - petsymposium.org
Volume 2018 Issue 1 Editors’ Introduction Rachel Greenstadt (Drexel University), Damon McCoy (New York University), Carmela Troncoso (IMDEA Software Institute) Efficient Dynamic …
Proceedings on Privacy Enhancing Technologies ; 2018 (3):123–142 Ehsan Hesamifard*, Hassan Takabi, Mehdi Ghasemi, and Rebecca N. Wright
Privacy-preserving Machine Learning as a Service
Volume: 2018 Issue: 3 Pages: 123–142 DOI: Download PDF Abstract: Machine learning algorithms based on deep Neural Networks (NN) have achieved remarkable results and are …
Editors’ Introduction DOI 10.1515/popets-2018-0028 It is our great pleasure to introduce the fourth issue of the fourth volume of PoPETs, an open access journal that publishes articles accepted …
Privacy Pass: Bypassing Internet Challenges Anonymously
Volume: 2018 Issue: 3 Pages: 164–180 DOI: Download PDF Abstract: The growth of content delivery networks (CDNs) has engendered centralized control over the serving of internet …
Proceedings on Privacy Enhancing Technologies ; 2018 (3):164–180 Alex Davidson, Ian Goldberg, Nick Sullivan, George Tankersley, and Filippo Valsorda
Proceedings on Privacy Enhancing Technologies ; 2018 (4):159–178 Daniel Demmler*, Peter Rindal, Mike Rosulek, and Ni Trieu
PoPETs Proceedings — Differentially Private Oblivious RAM
Volume: 2018 Issue: 4 Pages: 64–84 DOI: Download PDF Abstract: In this work, we investigate if statistical privacy can enhance the performance of ORAM mechanisms while providing …
PoPETs Proceedings — Turtles, Locks, and Bathrooms: …
Volume: 2018 Issue: 4 Pages: 5–32 DOI: https://doi.org/10.1515/popets-2018-0029 Download PDF Abstract: Are the many formal definitions and frameworks of privacy consistent with a …
PoPETs Proceedings — Onion-AE: Foundations of Nested Encryption
Volume: 2018 Issue: 2 Pages: 85–104 DOI: https://doi.org/10.1515/popets-2018-0014 Download PDF Abstract: Nested symmetric encryption is a well-known technique for low-latency …